In this paper, we propose a novel Carrier Frequency Offset (CFO) estimation and compensation algorithm applicable to Software Defined Radio (SDR). A two stage estimation algorithm has been proposed as a concatenation of two algorithms namely Modified Maximum Likelihood Data Aided (MMLDA) coarse frequency estimation and sample by sample residual CFO estimation. The second stage tracks the residual offset on sample by sample basis for the whole burst without using preamble. Simulation results are given for Stanford University Interim (SUI) channels to demonstrate the effectiveness of the proposed algorithm in multipath fading channel. The proposed algorithm shows better performance than the conventional two stage algorithms, even for large frequency offsets. The proposed algorithm has been implemented in software on TMS320C64x+ Digital Signal Processor (DSP) core and verified by comparing with simulation results.
Muhammad ZEESHAN
National University of Sciences & Technology
Shoab KHAN
National University of Sciences & Technology
Ibtasam HAQ
Technical University of Munich (TUM)
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Muhammad ZEESHAN, Shoab KHAN, Ibtasam HAQ, "A Two Stage Algorithm for Carrier Frequency Offset Recovery with DSP Implementation on SDR Platform" in IEICE TRANSACTIONS on Communications,
vol. E97-B, no. 11, pp. 2449-2458, November 2014, doi: 10.1587/transcom.E97.B.2449.
Abstract: In this paper, we propose a novel Carrier Frequency Offset (CFO) estimation and compensation algorithm applicable to Software Defined Radio (SDR). A two stage estimation algorithm has been proposed as a concatenation of two algorithms namely Modified Maximum Likelihood Data Aided (MMLDA) coarse frequency estimation and sample by sample residual CFO estimation. The second stage tracks the residual offset on sample by sample basis for the whole burst without using preamble. Simulation results are given for Stanford University Interim (SUI) channels to demonstrate the effectiveness of the proposed algorithm in multipath fading channel. The proposed algorithm shows better performance than the conventional two stage algorithms, even for large frequency offsets. The proposed algorithm has been implemented in software on TMS320C64x+ Digital Signal Processor (DSP) core and verified by comparing with simulation results.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E97.B.2449/_p
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@ARTICLE{e97-b_11_2449,
author={Muhammad ZEESHAN, Shoab KHAN, Ibtasam HAQ, },
journal={IEICE TRANSACTIONS on Communications},
title={A Two Stage Algorithm for Carrier Frequency Offset Recovery with DSP Implementation on SDR Platform},
year={2014},
volume={E97-B},
number={11},
pages={2449-2458},
abstract={In this paper, we propose a novel Carrier Frequency Offset (CFO) estimation and compensation algorithm applicable to Software Defined Radio (SDR). A two stage estimation algorithm has been proposed as a concatenation of two algorithms namely Modified Maximum Likelihood Data Aided (MMLDA) coarse frequency estimation and sample by sample residual CFO estimation. The second stage tracks the residual offset on sample by sample basis for the whole burst without using preamble. Simulation results are given for Stanford University Interim (SUI) channels to demonstrate the effectiveness of the proposed algorithm in multipath fading channel. The proposed algorithm shows better performance than the conventional two stage algorithms, even for large frequency offsets. The proposed algorithm has been implemented in software on TMS320C64x+ Digital Signal Processor (DSP) core and verified by comparing with simulation results.},
keywords={},
doi={10.1587/transcom.E97.B.2449},
ISSN={1745-1345},
month={November},}
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TY - JOUR
TI - A Two Stage Algorithm for Carrier Frequency Offset Recovery with DSP Implementation on SDR Platform
T2 - IEICE TRANSACTIONS on Communications
SP - 2449
EP - 2458
AU - Muhammad ZEESHAN
AU - Shoab KHAN
AU - Ibtasam HAQ
PY - 2014
DO - 10.1587/transcom.E97.B.2449
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E97-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2014
AB - In this paper, we propose a novel Carrier Frequency Offset (CFO) estimation and compensation algorithm applicable to Software Defined Radio (SDR). A two stage estimation algorithm has been proposed as a concatenation of two algorithms namely Modified Maximum Likelihood Data Aided (MMLDA) coarse frequency estimation and sample by sample residual CFO estimation. The second stage tracks the residual offset on sample by sample basis for the whole burst without using preamble. Simulation results are given for Stanford University Interim (SUI) channels to demonstrate the effectiveness of the proposed algorithm in multipath fading channel. The proposed algorithm shows better performance than the conventional two stage algorithms, even for large frequency offsets. The proposed algorithm has been implemented in software on TMS320C64x+ Digital Signal Processor (DSP) core and verified by comparing with simulation results.
ER -